CN111932028B - Clean energy system capacity optimization method and system based on natural carbon circulation digestion - Google Patents
Clean energy system capacity optimization method and system based on natural carbon circulation digestion Download PDFInfo
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Abstract
The invention discloses a clean energy system capacity optimization method and system based on natural circulation of carbon. The method comprises the following steps: aiming at minimizing the cost of the clean energy system, taking the carbon dioxide emission, the power balance and the equipment operation limit value of the clean energy system as constraint conditions, and establishing a clean energy system model; and carrying out optimization solution on the clean energy system model. By adopting the method and the system provided by the invention, the optimized installed capacity is obtained, the pollution emission generated by the output of the thermal power unit can be greatly reduced, the 'clean zero emission' of carbon dioxide is realized, and the economy, energy supply reliability and environmental friendliness of the system are ensured.
Description
Technical Field
The invention relates to the technical field of power systems, in particular to a clean energy system capacity optimization method and system based on natural circulation of carbon.
Background
Energy is an important material foundation for human society to survive and develop all the time, and as the human society enters the age of rapid development, the total energy consumption demand of the society is rapidly increased, and the global energy crisis starts to be highlighted gradually. The increasing global total energy consumption demand will put tremendous pressure on global energy supply. In addition, the long-term massive development and use of fossil energy by human society has accumulated very serious environmental pollution problems. The construction of clean, safe and sustainable energy supply structures to cope with global energy crisis, climate abnormalities and environmental pollution has become the subject of global energy development.
At present, the large carbon emission generated by the output of the thermal power generating unit seriously damages the environment, and how to ensure the economy, energy supply reliability and environmental friendliness of the system is a problem to be solved urgently.
Disclosure of Invention
The invention aims to provide a clean energy system capacity optimization method and system based on natural circulation and digestion of carbon, which can greatly reduce pollution emission generated by the output of a thermal power unit, realize 'clean zero emission' of carbon dioxide and ensure the economy, energy supply reliability and environmental friendliness of the system.
In order to achieve the above object, the present invention provides the following solutions:
A clean energy system capacity optimization method based on carbon natural circulation digestion comprises the following steps:
aiming at minimizing the cost of the clean energy system, taking the carbon dioxide emission, the power balance and the equipment operation limit value of the clean energy system as constraint conditions, and establishing a clean energy system model;
and carrying out optimization solution on the clean energy system model to obtain the optimized installed capacity.
Optionally, the method aims at minimizing the cost of the clean energy system, takes the carbon dioxide emission, the power balance and the equipment operation limit value of the clean energy system as constraint conditions, and builds a clean energy system model, and specifically comprises the following steps:
the objective function is determined according to the following formula:
minF＝CP+CAm+CR
Wherein,
CP＝CRF×∑CkNk
CAm＝∑CFNk+∑CV∑N(k，t)
Wherein F is an objective function, C P is the total investment cost of the system, CRF is a discount coefficient, C k is the unit price of kth equipment, N k is the installed capacity of kth equipment, C Am is the system operation maintenance cost, C F is the fixed maintenance cost of kth equipment, C V is the variable maintenance cost of kth equipment, N (kt) is the operation load of kth equipment at T, C R is the fuel cost, C o is the fuel cost coefficient of fossil fuel, P in,ch (T) is the actual operation power of a fossil fuel generator set at T, and T is the total time.
Optionally, the method aims at minimizing the cost of the clean energy system, takes carbon dioxide emission, power balance and equipment operation limit values of the clean energy system as constraint conditions, establishes a clean energy system model, and further comprises:
Determining a carbon emission constraint based on natural circulation digestion of carbon according to the following formula:
Wherein,
In the method, in the process of the invention,For the carbon dioxide emission of the system,/>Delta o is the carbon emission factor of fossil fuel combustion, which is the upper limit of the carbon dioxide emission of the systemFor the maximum carbon dioxide upper limit of the natural world, K e is the carbon dioxide emission distribution coefficient of electric power in each industry, W all is the global electric power yield, and W f is the electric power yield of a clean energy system based on the natural circulation of carbon;
determining a power balance constraint according to the following formula:
LE＝PC+PWT+PPV+PB
LH＝PH,hp
LC＝PC,hp
Wherein L E is a user electrical load demand, P C is a fossil fuel generator set output, P WT is a wind driven generator output, P PV is a photovoltaic output, P B is an energy storage battery actual charge and discharge power, L H is a user thermal load demand, P H,hp is a ground source heat pump heating power, L C is a user cooling load demand, and P C,hp is a ground source heat pump cooling power;
determining a device operating limit constraint according to the following formula:
Pchmin≤Pch(t)≤Pchmax
Pdismin≤Pdis(t)≤Pdismax
Psocmin≤Psoc(t)≤Psocmax
where I τ is the number of runs of element τ, For the maximum number of operations of element τ, E τ is the operating power of element τ,For minimum operating power of element τ,/>For maximum operating power of element tau, P i is the i-th power plant power,For the ith power generation equipment power upper limit, P ch (t) is the energy storage battery charging power at time t, P chmin is the energy storage battery charging power lower limit, P chmax is the energy storage battery charging power upper limit, P dis (t) is the energy storage battery discharging power at time t, P dismin is the energy storage battery discharging power lower limit, P dismax is the energy storage battery discharging power upper limit, P soc (t) is the energy storage battery state of charge at time t, P socmin is the energy storage battery state of charge lower limit, and P socmax is the energy storage battery state of charge upper limit.
Optionally, the optimizing and solving the clean energy system model to obtain the optimized installed capacity specifically includes:
And optimizing and solving the clean energy system model by adopting a particle swarm algorithm to obtain the optimized installed capacity.
The invention also provides a clean energy system capacity optimization system based on carbon natural circulation digestion, which comprises:
The clean energy system model building module is used for building a clean energy system model by taking the cost of the minimized clean energy system as a target and taking the carbon dioxide emission, the power balance and the equipment operation limit value of the clean energy system as constraint conditions;
And the optimization module is used for carrying out optimization solution on the clean energy system model to obtain the optimized installed capacity.
Optionally, the clean energy system model building module specifically includes:
an objective function determining unit for determining an objective function according to the following formula:
minF＝CP+CAm+CR
Wherein,
CP＝CRF×∑CkNk
CAm＝∑CFNk+∑CV∑N(k，t)
Wherein F is an objective function, C P is the total investment cost of the system, CRF is a discount coefficient, C k is the unit price of the kth device, N k is the installed capacity of the kth device, C Am is the system operation maintenance cost, C F is the fixed maintenance cost of the kth device, C V is the variable maintenance cost of the kth device, N (k, T) is the operation load of the kth device at the moment T, C R is the fuel cost, C o is the fuel cost coefficient of the fossil fuel, P in,ch (T) is the actual operation power of the fossil fuel generator set at the moment T, and T is the total time.
Optionally, the clean energy system model building module further includes:
A carbon emission constraint condition determining unit based on the natural circulation of carbon, for determining a carbon emission constraint condition based on the natural circulation of carbon according to the following formula:
Wherein,
In the method, in the process of the invention,For the carbon dioxide emission of the system,/>Delta o is the carbon emission factor of fossil fuel combustion, which is the upper limit of the carbon dioxide emission of the systemFor the maximum carbon dioxide upper limit of the natural world, K e is the carbon dioxide emission distribution coefficient of electric power in each industry, W all is the global electric power yield, and W f is the electric power yield of a clean energy system based on the natural circulation of carbon;
A power balance constraint condition determining unit for determining a power balance constraint condition according to the following formula:
LE＝PC+PWT+PPV+PB
LH＝PH,hp
LC＝PC,hp
Wherein L E is a user electrical load demand, P C is a fossil fuel generator set output, P WT is a wind driven generator output, P PV is a photovoltaic output, P B is an energy storage battery actual charge and discharge power, L H is a user thermal load demand, P H,hp is a ground source heat pump heating power, L C is a user cooling load demand, and P C,hp is a ground source heat pump cooling power;
the device operation limit constraint condition determining unit is used for determining the device operation limit constraint condition according to the following formula:
Pchmin≤Pch(t)≤Pchmax
Pdismin≤Pdis(t)≤Pdismax
Psocmin≤Psoc(t)≤Psocmax
where I τ is the number of runs of element τ, For the maximum number of operations of element τ, E τ is the operating power of element τ,For minimum operating power of element τ,/>For maximum operating power of element tau, P i is the i-th power plant power,For the ith power generation equipment power upper limit, P ch (t) is the energy storage battery charging power at time t, P chmin is the energy storage battery charging power lower limit, P chmax is the energy storage battery charging power upper limit, P dis (t) is the energy storage battery discharging power at time t, P dismin is the energy storage battery discharging power lower limit, P dismax is the energy storage battery discharging power upper limit, P soc (t) is the energy storage battery state of charge at time t, P socmin is the energy storage battery state of charge lower limit, and P socmax is the energy storage battery state of charge upper limit.
Optionally, the optimizing module specifically includes:
and the optimizing unit is used for carrying out optimizing solution on the clean energy system model by adopting a particle swarm algorithm to obtain the optimized installed capacity.
Compared with the prior art, the invention has the beneficial effects that:
The invention provides a clean energy system capacity optimization method and a clean energy system capacity optimization system based on natural circulation of carbon, which aim at minimizing the cost of the clean energy system, and establish a clean energy system model by taking the carbon dioxide emission, the power balance and the equipment operation limit value of the clean energy system as constraint conditions; the clean energy system model is optimized and solved to obtain the optimized installed capacity, so that the pollution emission generated by the output of the thermal power unit can be greatly reduced, the 'clean zero emission' of carbon dioxide is realized, and the economy, energy supply reliability and environmental friendliness of the system are ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an essentially clean distributed energy supply system in accordance with an embodiment of the present invention;
FIG. 2 is a flow chart of a method for optimizing the capacity of a clean energy system based on natural circulation of carbon in an embodiment of the invention;
FIG. 3 is a block diagram of a clean energy system capacity optimization system based on natural circulation carbon digestion in an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide a clean energy system capacity optimization method and system based on natural circulation and digestion of carbon, which can greatly reduce pollution emission generated by the output of a thermal power unit, realize 'clean zero emission' of carbon dioxide and ensure the economy, energy supply reliability and environmental friendliness of the system.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Examples
The clean energy system provided by the invention is an essential clean energy system, namely a system which is powered by high-proportion clean energy and can be used for naturally and circularly absorbing the carbon emission of the system in the natural world. The essential clean energy system has strategic significance for realizing resource conservation type and environment-friendly society.
FIG. 1 is a schematic diagram of an essentially clean distributed energy supply system in accordance with an embodiment of the present invention, as shown in FIG. 1, which uses wind energy and light energy as energy sources to provide a supply of user cooling, heating, and electrical loads. The system operates independently and is not connected with a large power grid. Wind power generators and photovoltaic cell panels (wind-solar complementary power generation) are primary energy production units, and an energy storage device (an energy storage battery) and a fossil fuel power generation system are provided as flexible adjustment power sources to weaken the uncertainty influence of wind-solar power output. When wind-solar power generation is insufficient to support user load, firstly, energy stored in the energy storage device is called, and secondly, the standby peak shaving of the fossil fuel generator set is started under the constraint of carbon emission. By configuring the installed capacity of each power supply, the relation between the economical efficiency and the cleanliness of the system is effectively regulated by limiting excessive investment caused by overlarge energy storage installed and restricting carbon emission pollution caused by overlarge output of the fossil fuel generator set. The ground source heat pump is a secondary energy production unit, so that the cold and heat load demands of users are met; organic Rankine Cycle (ORC) gradient utilizes flue gas waste heat of fossil fuel generating set to convert low-temperature heat energy into electric energy.
Fig. 2 is a flowchart of a method for optimizing the capacity of a clean energy system based on natural circulation of carbon in an embodiment of the present invention, as shown in fig. 2, the embodiment provides a method for optimizing the capacity of a clean energy system based on natural circulation of carbon, including:
step 101: the clean energy system model is built with the aim of minimizing the cost of the clean energy system and with the constraints of carbon dioxide emission, power balance and equipment operating limits of the clean energy system.
Step 101 specifically includes:
the objective function is determined according to the following formula:
minF＝CP+CAm+CR
Wherein,
CP＝CRF×∑CkNk
CAm＝∑CFNk+∑CV∑N(k，t)
Wherein F is an objective function, C P is the total investment cost of the system, CRF is a discount coefficient, C k is the unit price of the kth device, N k is the installed capacity of the kth device, C Am is the system operation maintenance cost, C F is the fixed maintenance cost of the kth device, C V is the variable maintenance cost of the kth device, N (k, T) is the operation load of the kth device at the moment T, C R is the fuel cost, C o is the fuel cost coefficient of the fossil fuel, P in,ch (T) is the actual operation power of the fossil fuel generator set at the moment T, and T is the total time.
Determining a carbon emission constraint based on natural circulation digestion of carbon according to the following formula:
Wherein,
In the method, in the process of the invention,For the carbon dioxide emission of the system,/>Delta o is the carbon emission factor of fossil fuel combustion, which is the upper limit of the carbon dioxide emission of the systemFor the maximum carbon dioxide upper limit of the natural world, K e is the carbon dioxide emission distribution coefficient of electric power in each industry, W all is the global electric power yield, and W f is the electric power yield of a clean energy system based on the natural circulation of carbon; p in,ch is the actual operating power of the fossil fuel power generator set.
Determining a power balance constraint according to the following formula:
LE＝PC+PWT+PPV+PB
LH＝PH,hp
LC＝PC,hp
Wherein L E is a user electrical load demand, P C is a fossil fuel generator set output, P WT is a wind driven generator output, P PV is a photovoltaic output, P B is an energy storage battery actual charge and discharge power, L H is a user thermal load demand, P H,hp is a ground source heat pump heating power, L C is a user cooling load demand, and P C,hp is a ground source heat pump cooling power;
determining a device operating limit constraint according to the following formula:
Pchmin≤Pch(t)≤Pchmax
Pdismin≤Pdis(t)≤Pdismax
Psocmin≤Psoc(t)≤Psocmax
where I τ is the number of runs of element τ, For the maximum number of operations of element τ, E τ is the operating power of element τ,For minimum operating power of element τ,/>For maximum operating power of element tau, P i is the i-th power plant power,For the ith power generation equipment power upper limit, P ch (t) is the energy storage battery charging power at time t, P chmin is the energy storage battery charging power lower limit, P chmax is the energy storage battery charging power upper limit, P dis (t) is the energy storage battery discharging power at time t, P dismin is the energy storage battery discharging power lower limit, P dismax is the energy storage battery discharging power upper limit, P soc (t) is the energy storage battery state of charge at time t, P socmin is the energy storage battery state of charge lower limit, and P socmax is the energy storage battery state of charge upper limit.
Step 102: and carrying out optimization solution on the clean energy system model to obtain the optimized installed capacity.
And optimizing and solving the clean energy system model by adopting a particle swarm algorithm to obtain the optimized installed capacity.
Fig. 3 is a block diagram of a clean energy system capacity optimization system based on natural carbon cycle absorption in an embodiment of the present invention, and as shown in fig. 3, the embodiment provides a clean energy system capacity optimization system based on natural carbon cycle absorption, including:
The clean energy system model building module 201 is configured to build a clean energy system model with the aim of minimizing the cost of the clean energy system and with constraints on the carbon dioxide emission, the power balance and the equipment operation limits of the clean energy system.
The clean energy system model building module 201 specifically includes:
an objective function determining unit for determining an objective function according to the following formula:
minF＝CP+CAm+CR
Wherein,
Cp＝CRF×∑CkNk
CAm＝∑CFNk+∑CV∑N(k，t)
Wherein F is an objective function, C P is the total investment cost of the system, CRF is a discount coefficient, C k is the unit price of the kth device, N k is the installed capacity of the kth device, C Am is the system operation maintenance cost, C F is the fixed maintenance cost of the kth device, C V is the variable maintenance cost of the kth device, N (k, T) is the operation load of the kth device at the moment T, C R is the fuel cost, C o is the fuel cost coefficient of the fossil fuel, P in,ch (T) is the actual operation power of the fossil fuel generator set at the moment T, and T is the total time.
A carbon emission constraint condition determining unit based on the natural circulation of carbon, for determining a carbon emission constraint condition based on the natural circulation of carbon according to the following formula:
Wherein,
In the method, in the process of the invention,For the carbon dioxide emission of the system,/>Delta o is the carbon emission factor of fossil fuel combustion, which is the upper limit of the carbon dioxide emission of the systemFor maximum carbon dioxide upper limit in the nature, K e is a carbon dioxide emission distribution coefficient of electric power in various industries, W all is global electric power yield, and W f is electric power yield of a clean energy system based on natural circulation of carbon.
A power balance constraint condition determining unit for determining a power balance constraint condition according to the following formula:
LE＝PC+PWT+PPV+PB
LH＝PH,hp
LC＝PC,hp
Wherein, L E is the user electrical load demand, P C is the output of the fossil fuel generator set, P WT is the output of the wind driven generator, P PV is the photovoltaic output, P B is the actual charge and discharge power of the energy storage battery, L H is the user thermal load demand, P H,hp is the heat supply power of the ground source heat pump, L C is the user cold load demand, and P C,hp is the refrigeration power of the ground source heat pump.
The device operation limit constraint condition determining unit is used for determining the device operation limit constraint condition according to the following formula:
Pchmin≤Pch(t)≤Pchmax
Pdismin≤Pdis(t)≤Pdismax
Psocmin≤Psoc(t)≤Psocmax
where I τ is the number of runs of element τ, For the maximum number of operations of element τ, E τ is the operating power of element τ,For minimum operating power of element τ,/>For maximum operating power of element tau, P i is the i-th power plant power,For the ith power generation equipment power upper limit, P ch (t) is the energy storage battery charging power at time t, P chmin is the energy storage battery charging power lower limit, P chmax is the energy storage battery charging power upper limit, P dis (t) is the energy storage battery discharging power at time t, P dismin is the energy storage battery discharging power lower limit, P dismax is the energy storage battery discharging power upper limit, P soc (t) is the energy storage battery state of charge at time t, P socmin is the energy storage battery state of charge lower limit, and P socmax is the energy storage battery state of charge upper limit.
And the optimization module 202 is used for carrying out optimization solution on the clean energy system model to obtain the optimized installed capacity.
The optimizing module 202 specifically includes:
and the optimizing unit is used for carrying out optimizing solution on the clean energy system model by adopting a particle swarm algorithm to obtain the optimized installed capacity.
The invention fundamentally changes the primary and secondary relation between the output of the thermal power unit and the output of the clean energy in the traditional power generation system, and reasonably plans the clean energy such as wind, light and the like to meet the supply of cold, heat and electric loads in the area. And (3) providing a carbon emission constraint established by natural carbon natural circulation carbon dioxide upper limit, taking the installed capacity of each power supply as a decision variable, constructing an objective function with the minimum annual total cost value of the system, and carrying out optimal capacity configuration on the system by utilizing a particle swarm algorithm to obtain an optimization scheme. The method maximizes the output of new energy while maintaining the matching degree of the source end and the load end to the maximum extent, has definite energy flow direction, greatly reduces the pollution emission generated by the output of the thermal power unit, realizes the 'clean zero emission' of carbon dioxide, and ensures the economy, energy supply reliability and environmental friendliness of the system.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In summary, the present description should not be construed as limiting the invention.
Claims (4)
1. The clean energy system capacity optimization method based on the natural circulation of carbon is characterized by comprising the following steps of:
aiming at minimizing the cost of the clean energy system, taking the carbon dioxide emission, the power balance and the equipment operation limit value of the clean energy system as constraint conditions, and establishing a clean energy system model;
carrying out optimization solution on the clean energy system model to obtain the optimized installed capacity;
The method aims at minimizing the cost of the clean energy system, takes the carbon dioxide emission, the power balance and the equipment operation limit value of the clean energy system as constraint conditions, and establishes a clean energy system model, and specifically comprises the following steps:
the objective function is determined according to the following formula:
minF＝CP+CAm+CR
Wherein,
CP＝CRF×ΣCkNk
CAm=ΣCFNk+ΣCv∑N(k,t)
Wherein F is an objective function, C P is the total investment cost of the system, CRF is a discount coefficient, C k is the unit price of kth equipment, N k is the installed capacity of kth equipment, C Am is the system operation maintenance cost, C F is the fixed maintenance cost of kth equipment, C V is the variable maintenance cost of kth equipment, N (k, T) is the operation load of kth equipment at T moment, C R is the fuel cost, C o is the fuel cost coefficient of fossil fuel, P in,ch (T) is the actual operation power of a fossil fuel generator set at T moment, and T is the total time;
the method aims at minimizing the cost of the clean energy system, takes the carbon dioxide emission, the power balance and the equipment operation limit value of the clean energy system as constraint conditions, establishes a clean energy system model, and further comprises the following steps:
Determining a carbon emission constraint based on natural circulation digestion of carbon according to the following formula:
Wherein,
In the method, in the process of the invention,For the carbon dioxide emission of the system,/>Delta o is the carbon emission factor of fossil fuel combustion, which is the upper limit of the carbon dioxide emission of the systemFor the maximum carbon dioxide upper limit of the natural world, K e is the carbon dioxide emission distribution coefficient of electric power in each industry, W all is the global electric power yield, and W f is the electric power yield of a clean energy system based on the natural circulation of carbon;
determining a power balance constraint according to the following formula:
LE＝PC+PWT+PPV+PB
LH＝PH,hp
LC＝PC,hp
Wherein L E is a user electrical load demand, P C is a fossil fuel generator set output, P WT is a wind driven generator output, P PV is a photovoltaic output, P B is an energy storage battery actual charge and discharge power, L H is a user thermal load demand, P H,hp is a ground source heat pump heating power, L C is a user cooling load demand, and P C,hp is a ground source heat pump cooling power;
determining a device operating limit constraint according to the following formula:
Pchmin≤Pch(t)≤Pchmax
Pdismin≤Pdis(t)≤Pdismax
Psocmin≤Psoc(t)≤Psocmax
where I τ is the number of runs of element τ, For the maximum number of operations of element τ, E τ is the operating power of element τ,/>For minimum operating power of element τ,/>For the maximum operating power of element τ, P i is the ith power plant power,/>For the ith power generation equipment power upper limit, P ch (t) is the energy storage battery charging power at time t, P chmin is the energy storage battery charging power lower limit, P chmax is the energy storage battery charging power upper limit, P dis (t) is the energy storage battery discharging power at time t, P dismin is the energy storage battery discharging power lower limit, P dismax is the energy storage battery discharging power upper limit, P soc (t) is the energy storage battery state of charge at time t, P socmint is the energy storage battery state of charge lower limit, and P socmax is the energy storage battery state of charge upper limit.
2. The clean energy system capacity optimization method based on natural circulation carbon digestion according to claim 1, wherein the optimizing solution is performed on the clean energy system model to obtain an optimized installed capacity, and the method specifically comprises the following steps:
And optimizing and solving the clean energy system model by adopting a particle swarm algorithm to obtain the optimized installed capacity.
3. A clean energy system capacity optimization system based on natural circulation of carbon digestion, comprising:
The clean energy system model building module is used for building a clean energy system model by taking the cost of the minimized clean energy system as a target and taking the carbon dioxide emission, the power balance and the equipment operation limit value of the clean energy system as constraint conditions;
the optimization module is used for carrying out optimization solution on the clean energy system model to obtain the optimized installed capacity;
the clean energy system model building module specifically comprises:
an objective function determining unit for determining an objective function according to the following formula:
minF＝CP+CAm+CR
Wherein,
CP＝CRF×ΣCkNk
CAm=ΣCFNk+∑CV∑N(k,t)
Wherein F is an objective function, C P is the total investment cost of the system, CRF is a discount coefficient, C k is the unit price of kth equipment, N k is the installed capacity of kth equipment, C Am is the system operation maintenance cost, C F is the fixed maintenance cost of kth equipment, C V is the variable maintenance cost of kth equipment, N (k, T) is the operation load of kth equipment at T moment, C R is the fuel cost, C o is the fuel cost coefficient of fossil fuel, P in,ch (T) is the actual operation power of a fossil fuel generator set at T moment, and T is the total time;
The clean energy system model building module further comprises:
A carbon emission constraint condition determining unit based on the natural circulation of carbon, for determining a carbon emission constraint condition based on the natural circulation of carbon according to the following formula:
Wherein,
In the method, in the process of the invention,For the carbon dioxide emission of the system,/>Delta o is the carbon emission factor of fossil fuel combustion, which is the upper limit of the carbon dioxide emission of the systemFor the maximum carbon dioxide upper limit of the natural world, K e is the carbon dioxide emission distribution coefficient of electric power in each industry, W all is the global electric power yield, and W f is the electric power yield of a clean energy system based on the natural circulation of carbon;
A power balance constraint condition determining unit for determining a power balance constraint condition according to the following formula:
LE＝PC+PWT+PPV+PB
LH＝PH,hp
LC＝PC,hp
Wherein L E is a user electrical load demand, P C is a fossil fuel generator set output, P WT is a wind driven generator output, P PV is a photovoltaic output, P B is an energy storage battery actual charge and discharge power, L H is a user thermal load demand, P H,hp is a ground source heat pump heating power, L C is a user cooling load demand, and P C,hp is a ground source heat pump cooling power;
the device operation limit constraint condition determining unit is used for determining the device operation limit constraint condition according to the following formula:
Pchmin≤Pch(t)≤Pchmax
Pdismin≤Pdis(t)≤Pdismax
Psocmin≤Psoc(t)≤Psocmax
where I τ is the number of runs of element τ, For the maximum number of operations of element τ, E τ is the operating power of element τ,/>For minimum operating power of element τ,/>For the maximum operating power of element τ, P i is the ith power plant power,/>For the ith power generation equipment power upper limit, P ch (t) is the energy storage battery charging power at time t, P chmin is the energy storage battery charging power lower limit, P chmax is the energy storage battery charging power upper limit, P dis (t) is the energy storage battery discharging power at time t, P dismin is the energy storage battery discharging power lower limit, P dismax is the energy storage battery discharging power upper limit, P soc (t) is the energy storage battery state of charge at time t, P socmint is the energy storage battery state of charge lower limit, and P socmax is the energy storage battery state of charge upper limit.
4. The clean energy system capacity optimization system based on natural circulation carbon digestion of claim 3, wherein the optimization module specifically comprises:
and the optimizing unit is used for carrying out optimizing solution on the clean energy system model by adopting a particle swarm algorithm to obtain the optimized installed capacity.
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